EdgeFleet.AI develops autonomous drone, rover, and submersible fleets powered by Edge AI and swarm robotics for infrastructure and defense intelligence. Their self-orchestrating ecosystem provides real-time insights, predictive diagnostics, and high-fidelity digital twins for sectors like energy, defense, and critical infrastructure. This technology enhances tactical awareness and operational intelligence with unmatched scale and speed.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial inspections of critical infrastructure, energy facilities, and defense assets are often costly, time-consuming, and expose personnel to hazardous environments. Traditional inspection methods may lack the precision and real-time data needed for proactive maintenance and risk mitigation. Analyzing the data collected from these inspections can also be a slow and manual process.
Solution
EdgeFleet.AI provides an AI-powered platform for autonomous robotic inspections using drones, rovers, and submersibles. The platform enables real-time data collection, predictive diagnostics, and the creation of high-fidelity digital twins of inspected assets. EdgeFleet's solution facilitates autonomous navigation and swarm coordination, allowing for comprehensive multi-layered inspections across aerial, terrestrial, and underwater environments. The platform integrates sensor data from robotic fleets, applies AI for anomaly detection, and delivers structured reports and visual dashboards for remote operations and diagnostics. By using edge computing, the platform enhances AI processing, enabling real-time intelligence without cloud dependency.
Target Audience
The primary target audience includes companies in the oil & gas, manufacturing, warehousing, maritime, energy, defense, critical infrastructure, and precision agriculture sectors that require automated and intelligent inspection solutions.
Features
- Autonomous navigation and swarm coordination for robotic fleets
- High-precision defect detection (cracks, corrosion, leaks) using computer vision, thermal, and ultrasonic payloads
- AI-accelerated digital twin platform for real-time asset visualization and predictive failure analysis
- Custom inspection protocol design tailored to industry standards (API, ASME)
- Smart routing and task scheduling for efficient fleet management
- Data Intelligence & Reporting Suite with visual annotation layer, risk scoring, and maintenance triggers
- Integration-ready REST APIs and compliance-ready formats (PDF, JSON, CSV exports) for seamless data integration
- Blockchain-based data logging for enhanced security and compliance